Research on Network Security Analysis Technique of Massive Rules in the Age of Big Data
In the age of Big Data, we should consider large-scale, heterogeneous network security behavior. In this paper, according to the features of huge amount and complex, Big Data analysis technologies for network security massive rules were proposed. Various types of heterogeneous data sources by data cleaning were analysised. The key data through security event correlation and spatiotemporal co-occurrence pattern mining security event correlation rules were proposed.
Big DataCorrelation AnalysisRuleSpatiotemporal co-occurrence
NETL
NSTL
万方数据
